作者: BULLY 時(shí)間: 2025-3-21 23:10
Communication-Efficient Federated Skin Lesion Classification with?Generalizable Dataset Distillationnd identical distributions have not been fully addressed. The former problem arises from model parameter transfer between the server and clients, and the latter problem is due to differences in imaging protocols and operational customs. To reduce communication costs, dataset distillation methods hav作者: Redundant 時(shí)間: 2025-3-22 03:53
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsLS, but they require more training data compared to convolutional neural networks (CNNs) due to their inherent parameter-heavy structure and lack of some inductive biases. To alleviate this issue, current approaches fine-tune pre-trained ViT backbones on SLS datasets, aiming to leverage the knowledg作者: Entreaty 時(shí)間: 2025-3-22 06:39
Test-Time Selection for?Robust Skin Lesion Analysisformation. Solutions that address this problem by regularizing models to prevent learning those spurious features achieve only partial success, and existing test-time debiasing techniques are inappropriate for skin lesion analysis due to either making unrealistic assumptions on the distribution of t作者: Perennial長期的 時(shí)間: 2025-3-22 11:44
Global and?Local Explanations for?Skin Cancer Diagnosis Using Prototypesto provide explanations rely on saliency or attention maps that may not be easy to interpret. Moreover, the actual decision-making process is still a black-box. This paper proposes to overcome these limitations using class prototypes, both at the global (image-wide) and local (patch-based) levels. T作者: objection 時(shí)間: 2025-3-22 13:31 作者: 粘 時(shí)間: 2025-3-22 17:56 作者: 阻撓 時(shí)間: 2025-3-23 00:26
Generating Chinese Radiology Reports from?X-Ray Images: A Public Dataset and?an?X-ray-to-Reports Genthese methods rely on annotations, posing a burden on healthcare professionals. In contrast, medical reports contain valuable information, leading to the emergence of Medical Reports Generation from Medical Images (MRGMI). Despite advancements, MRGMI predominantly focuses on English reports, lacking作者: VICT 時(shí)間: 2025-3-23 05:02 作者: 慎重 時(shí)間: 2025-3-23 08:50 作者: 表示向前 時(shí)間: 2025-3-23 13:09
Multimodal Learning for?Improving Performance and?Explainability of?Chest X-Ray Classificationk-box nature of these models, undermining their explainability. A few of the approaches for “opening” the black box include the use of heatmaps to assist with visual interpretation, but these heatmaps remain crude. While it has been shown that utilizing radiologists’ attention-related data improves 作者: 外形 時(shí)間: 2025-3-23 15:34
Cross-Task Attention Network: Improving Multi-task Learning for?Medical Imaging Applicationsperformance. In medical imaging, MTL has shown great potential to solve various tasks. However, existing MTL architectures in medical imaging are limited in sharing information across tasks, reducing the potential performance improvements of MTL. In this study, we introduce a novel attention-based M作者: pester 時(shí)間: 2025-3-23 18:04
Input Augmentation with?SAM: Boosting Medical Image Segmentation with?Segmentation Foundation Model 11 million images with over 1 billion masks and can produce segmentation results for a wide range of objects in natural scene images. SAM can be viewed as a general perception model for segmentation (partitioning images into semantically meaningful regions). Thus, how to utilize such a large founda作者: 無底 時(shí)間: 2025-3-24 01:24
Empirical Analysis of?a?Segmentation Foundation Model in?Prostate Imagingined tasks in a supervised fashion, which requires expensive labeled datasets. Recent advances in several machine learning domains, such as natural language generation have demonstrated the feasibility and utility of building foundation models that can be customized for various downstream tasks with作者: irreducible 時(shí)間: 2025-3-24 03:45
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as?a?Plug-and-Play Transductive Model erence tool for medical image analysis (MIA). We provide theoretical analysis on why a large pre-trained language model such as GPT-3 can be used as a plug-and-play transductive inference model for MIA. At the methodological level, we develop several technical treatments to improve the efficiency an作者: 商品 時(shí)間: 2025-3-24 09:45 作者: 西瓜 時(shí)間: 2025-3-24 13:35
Carlos Santiago,Miguel Correia,Maria Rita Verdelho,Alceu Bissoto,Catarina Baratae counterparts, the Beilstein Databases of factual and structural data. The enormous work of the staff of the Beilstein Institute has produced, for over 100 years, a very valuable and unique scientific resource. We are pleased to be able to be involved in making this large volume of evaluated scient作者: penance 時(shí)間: 2025-3-24 16:16
Naren Akash R J,Anirudh Kaushik,Jayanthi Sivaswamye counterparts, the Beilstein Databases of factual and structural data. The enormous work of the staff of the Beilstein Institute has produced, for over 100 years, a very valuable and unique scientific resource. We are pleased to be able to be involved in making this large volume of evaluated scient作者: 敲詐 時(shí)間: 2025-3-24 21:39
oot. Our primary interest in studying the muscles arose from observations of variations, in which a new form of the anomalous muscle in the popliteal fossa had been described (Cihak, 1954; Hnevkovsky and Cihak, 1957) and in which changes of muscle forms in the congenitally malformed extremity had al作者: 動(dòng)作謎 時(shí)間: 2025-3-25 00:51 作者: 惰性氣體 時(shí)間: 2025-3-25 04:47 作者: 巫婆 時(shí)間: 2025-3-25 09:31 作者: Anal-Canal 時(shí)間: 2025-3-25 15:43 作者: 陳列 時(shí)間: 2025-3-25 18:50
Sangwook Kim,Thomas G. Purdie,Chris McIntoshiagnose ?Tumor in abdomine“ im S?uglings- oder Kleinkindsalter, gelegentlich auch erst bei Beginn der Pubert?t, kombiniert mit intermittierenden Leibschmerzen, auff?llig. Die Inspektion l??t dann bei einem Hymenalverschlu? das Hymen prall elastisch sich vorw?lbend erkennen. Die Exzision des Hymens m作者: 殖民地 時(shí)間: 2025-3-25 22:32
Yizhe Zhang,Tao Zhou,Shuo Wang,Peixian Liang,Yejia Zhang,Danny Z. Chenortet wird, mu? in der Regel bei einem adrenogenitalen Syndrom zumindest eine Vaginalanlage vorhanden sein. In diesen F?llen gehen wir wie folgt vor: Er?ffnung des Abdomens durch Pfannenstiel-Schnitt, Aufsuchen des Uterus, der mit einer Haltenaht versehen wird; Bann er?ffnet man das Peritoneum in de作者: 大方一點(diǎn) 時(shí)間: 2025-3-26 03:07 作者: assail 時(shí)間: 2025-3-26 07:16
Yizhe Zhang,Danny Z. Cheny we analyze the structural properties of the equilibrium states of quantum systems con- sisting of a large number of particles. In Chapter 1 we argued that this leads to the study of states of infinite-particle systems as an initial approximation. There are two approaches to this study which are to作者: 換話題 時(shí)間: 2025-3-26 08:35
Jingwei Zhang,Ke Ma,Saarthak Kapse,Joel Saltz,Maria Vakalopoulou,Prateek Prasanna,Dimitris Samarasy we analyze the structural properties of the equilibrium states of quantum systems con- sisting of a large number of particles. In Chapter 1 we argued that this leads to the study of states of infinite-particle systems as an initial approximation. There are two approaches to this study which are to作者: 失誤 時(shí)間: 2025-3-26 15:26
Conference proceedings 2023puting and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. .The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops...The papers of the wo作者: Projection 時(shí)間: 2025-3-26 20:47
Global and?Local Explanations for?Skin Cancer Diagnosis Using Prototypes and local explanations for the decisions of the model, providing a clearer justification that resembles the human reasoning process. The proposed approach was applied to the diagnosis of skin lesions in dermoscopy images, outperforming not only black-box models, which offer no explanations, but also other state-of-the-art explainable approaches.作者: ANT 時(shí)間: 2025-3-27 00:19 作者: 易發(fā)怒 時(shí)間: 2025-3-27 01:10 作者: Maximize 時(shí)間: 2025-3-27 06:20
Evidence-Driven Differential Diagnosis of?Malignant Melanomaof information. Validation results using the SIIM-ISIC 2020 dataset indicate including the lesion context with location and metadata improves specificity by . and ., respectively, while enhancing balanced accuracy. The code is available at ..作者: FLAT 時(shí)間: 2025-3-27 10:05
Gradient Self-alignment in?Private Deep Learningient by increasing their cosine similarity. Optimizing the alignment in only a relevant subset of gradient dimensions, further improves the performance. We evaluate our method on CIFAR-10 and a pediatric pneumonia chest x-ray dataset.作者: Osteoporosis 時(shí)間: 2025-3-27 14:00
Input Augmentation with?SAM: Boosting Medical Image Segmentation with?Segmentation Foundation Modelntation models. In particular, we demonstrate how to use SAM to augment image input for commonly-used medical image segmentation models (e.g., U-Net). Experiments on three segmentation tasks show the effectiveness of our proposed SAMAug method.作者: 事物的方面 時(shí)間: 2025-3-27 19:21
Empirical Analysis of?a?Segmentation Foundation Model in?Prostate Imagingvaluation study in the context of prostate imaging and compare it against the conventional approach of training a task-specific segmentation model. Our results and discussion highlight several important factors that will likely be important in the development and adoption of foundation models for medical image segmentation.作者: STAT 時(shí)間: 2025-3-27 22:12 作者: 白楊 時(shí)間: 2025-3-28 04:27
https://doi.org/10.1007/978-3-031-47401-9Artificial Intelligence; Computer Vision; Machine Learning; Medical Imaging; Explainability; Privacy-Pres作者: GUILE 時(shí)間: 2025-3-28 09:31 作者: Exhilarate 時(shí)間: 2025-3-28 12:08
978-3-031-47400-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 夾死提手勢 時(shí)間: 2025-3-28 16:18 作者: ABYSS 時(shí)間: 2025-3-28 19:26
0302-9743 dicTion Workshop (AI4Treat 2023)..Fourth InternationalWorkshop on Multiscale Multimodal Medical Imaging (MMMI 2023).Second International Workshop on Resource-Ef978-3-031-47400-2978-3-031-47401-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 提名的名單 時(shí)間: 2025-3-29 01:44 作者: Apraxia 時(shí)間: 2025-3-29 06:29
Nourhan Bayasi,Siyi Du,Ghassan Hamarneh,Rafeef Garbi作者: 形容詞詞尾 時(shí)間: 2025-3-29 10:26 作者: HPA533 時(shí)間: 2025-3-29 15:28 作者: 心胸狹窄 時(shí)間: 2025-3-29 19:26 作者: 并排上下 時(shí)間: 2025-3-29 21:01
Sara Ketabi,Pranav Agnihotri,Hamed Zakeri,Khashayar Namdar,Farzad Khalvati作者: nostrum 時(shí)間: 2025-3-30 02:22 作者: 克制 時(shí)間: 2025-3-30 04:53 作者: moratorium 時(shí)間: 2025-3-30 09:56
Communication-Efficient Federated Skin Lesion Classification with?Generalizable Dataset Distillationnt federated skin lesion classification. Our framework includes the generalization dataset distillation (GDD) method, which explicitly models image features of the dataset into an uncertain Gaussian distribution and learns to produce synthetic images with features close to this distribution. The unc作者: milligram 時(shí)間: 2025-3-30 14:34
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasetslate the feature representation of a ViT without updating its pre-trained weights. In addition, we employ a shallow CNN as a prompt generator to create a prompt embedding from the input image, which grasps fine-grained information and CNN’s inductive biases to guide the segmentation task on small da作者: 跟隨 時(shí)間: 2025-3-30 18:57 作者: DNR215 時(shí)間: 2025-3-30 22:51
Generating Chinese Radiology Reports from?X-Ray Images: A Public Dataset and?an?X-ray-to-Reports Gendering linguistic disparities, we enhance the SOTA method with prompt training, graph-based augmentation, and sentence shuffling. Our CN-X2RG model shows significant improvements over baselines. The dataset and code are publicly available, fostering clinical-responsible research and development.
